
The lecture starts with real work: you take one product or feature you work on, write the four numbers that show whether it is working, read them together on one screen, and mark the number you cannot fill in yet.
This course is built from six disciplines: product management, customer experience, business analysis, critical thinking, project management and marketing.
The map of the course
A simple dictionary for reading lectures from other fields as product work
Three questions to ask after every lecture
A short self-diagnostic that shows which sections to watch first
Download the Product Numbers Sheet and fill in one line after each lecture.
Evolution of the role from product manager upward
How the product role differs from technology, marketing and the CEO
The product leader as the voice of the customer inside the company
Balancing business, users and technology
Product vision and mission
Product-market fit: finding it and sustaining it
Strategic priorities and product goals
Linking product strategy to business goals
The product life cycle
BCG and McKinsey matrices and other approaches
Deciding whether to invest, maintain or retire a product
Balancing core, adjacent and innovation bets
Methods for researching the market and customer needs
Jobs to Be Done and Design Thinking
Customer journey mapping
Tools for validating hypotheses before you build
Roles: product managers, designers, analysts, researchers
Building the product organisation with tribes, squads and OKR alignment
Agile and Lean as the operating model
A culture of experimentation and learning
The North Star metric and its supporting metrics
AARRR and the pirate metrics framework
Product analytics tools: Mixpanel, Amplitude, GA4
Data-driven product management in practice
Monetisation models: freemium, subscription, transactions, licences
Growth loops and product-led growth
Unit economics and the LTV to CAC ratio
Financial accountability of the product owner
What happens to the product as the company scales
Supporting global expansion
Managing technology and market risks
Embedding security and compliance into product processes
Product as a driver of digital transformation
Innovation: AI, Web3 and platform business models
Building partner ecosystems and open innovation
Where the role is heading next
Main tasks and key functions in the company
Impact on customer experience and business results
Key indicators: NPS, CSAT, CES, FCR
Interaction with marketing, sales and product
Audit goals: how to assess the current situation
Customer journey mapping in practice
Data collection: surveys, interviews, feedback
SWOT analysis and identifying bottlenecks
Building the vision and mission of customer service
Defining long-term and short-term goals
Developing service policy and standards
Choosing a service model: omnichannel, self-service and others
Recruitment and onboarding into the team
Training, development and coaching
Financial and non-financial motivation systems
Performance management and building career tracks
Analysing current processes to find what needs optimising
Using CRM and customer communication systems
Implementing chatbots, AI and self-service
Building SLAs and operational standards
Metrics for measuring customer experience
Team performance metrics: AHT, FCR, SLA
Analysing customer feedback
Reporting systems, visualisation and using analytics for decisions
Types of difficult clients and how to work with each
Conflict management and active listening techniques
Escalation: how and when to involve a manager
Preventing negative feedback and the role of empathy
New technologies in customer care
Global trends and best practices
The role of artificial intelligence and big data
Building long-term plans for service development
This course contains the use of artificial intelligence.
Most products fail for the same reason: somebody built the thing before anyone confirmed a person wanted it.
What is going wrong right now
You are shipping features. The roadmap fills up, sprints close, releases go out, and none of it moves a number anyone cares about. Stakeholders each want something different and the loudest one usually wins. Research gets skipped because there is no time, so decisions are made from opinion dressed as insight. Then someone asks what the product's North Star metric is and the room goes quiet. You are busy, the team is busy, and the product is drifting.
What changes after this course
You will decide what to build on evidence rather than on who asked most recently. You will run discovery properly, validate the hypothesis before the engineering cost, define one metric that tells you whether the product is working, and calculate whether the unit economics survive contact with reality. You will write requirements engineering can build without a second meeting, deliver the roadmap with actual project discipline, and take the product to market with positioning that holds up against competitors.
Your instructor
Mike, the number one HR instructor on Udemy, with more than 1.6 million course enrolments and over 150,000 professionals trained. Holder of PHRi and SHRM-CP certifications and HRCI representative in more than 10 countries. Built the people function of the unicorn Preply and worked at Wargaming, Alfa-Bank and iDeals.
How the course is built
The course follows the actual arc of product work. It opens with the product discipline itself: the role, strategy and product-market fit, portfolio decisions across the life cycle, customer discovery with Jobs to Be Done and journey mapping, the operating model of squads and OKRs, the North Star and AARRR metrics, monetisation and unit economics, then scaling and innovation. The second block goes deep on the customer: journey audits, service strategy, NPS, CSAT and CES, feedback analysis, and what to do with difficult customers. The third block converts all of that into buildable requirements — user stories, acceptance criteria, process modelling and change management. The fourth sharpens the decisions themselves through logic, cognitive biases, OODA and Cynefin. The fifth is delivery: scope, schedule, budget, risk, team and control by PMBOK 7. The course closes with go-to-market: competitive analysis, strategy frameworks, budget and ROMI, positioning, the digital funnel and AI in marketing.
What is included
• Lifetime access to all course materials
• Active instructor support in the Q&A section
• Udemy Certificate of Completion
• Practical assignments and real business cases
• A section with additional courses, tools and resources
Why start now
Every quarter of building without evidence is a quarter of engineering budget spent on guesses. Product roles are among the best paid in the market precisely because the discipline is rare. Enrol now and start the first lesson today.